Lotze Michael T, Rees Robert C
Translational Research, University of Pittsburgh Molecular Medicine Institute, 300 Technology Drive, Rm 411, Pittsburgh, PA 15219, USA.
Cancer Immunol Immunother. 2004 Mar;53(3):256-61. doi: 10.1007/s00262-003-0487-3. Epub 2004 Jan 21.
The presence of inflammatory cells within cancer has been described for quite some time by pathologists, with generally improved outcome associated with their presence in various epithelial neoplasms. Most remarkably, this has included dendritic cells and T cells but more recently NK cells as well. Coupled with the rapid evolution of molecular technology, microarray analyses of primary tumors, serum and tumor proteomics, tumor capture analyses in the peripheral blood (together with quantitative RT-PCR), and novel histochemical markers and tissue microarrays, this provides the opportunity to establish a more effective means to study and classify into subsets various forms of cancer. Much of the current controversy in cancer diagnosis and pathologic assessment of prognosis lies in the application of these techniques in concert with other molecular tools including DNA microarrays, expression of histochemically defined cytokines, proangiogenic factors, and oncogene products, and correlating this with clinical relevance. Molecular detection technologies such as reverse transcriptase polymerase chain reaction, proteomics, and microarray analyses will be validated based on their integration with conventional cancer pathology and cancer diagnostics. Further work is needed to establish which cancer biomarkers and surrogates should be routinely measured and in which settings, and determining the appropriate sample size for such assays that can be validated in retrospective and prospective clinical studies. The ability to integrate these rapidly evolving strategies will consume much of our coordinate effort in cancer and cancer therapeutics for the near future.
一段时间以来,病理学家们一直在描述癌症中炎症细胞的存在情况,在各种上皮性肿瘤中,炎症细胞的存在通常与较好的预后相关。最值得注意的是,其中包括树突状细胞和T细胞,但最近也包括自然杀伤细胞。随着分子技术的迅速发展,对原发性肿瘤进行微阵列分析、血清和肿瘤蛋白质组学分析、外周血中的肿瘤捕获分析(以及定量逆转录聚合酶链反应),以及新型组织化学标志物和组织微阵列分析,这为建立一种更有效的方法来研究各种癌症并将其分类为不同亚组提供了机会。目前在癌症诊断和预后病理评估方面的许多争议在于这些技术与其他分子工具(包括DNA微阵列、组织化学定义的细胞因子、促血管生成因子和癌基因产物的表达)的协同应用,并将其与临床相关性联系起来。诸如逆转录聚合酶链反应、蛋白质组学和微阵列分析等分子检测技术将基于它们与传统癌症病理学和癌症诊断学的整合而得到验证。需要进一步开展工作,以确定哪些癌症生物标志物和替代指标应在哪些情况下进行常规检测,并确定可在回顾性和前瞻性临床研究中得到验证的此类检测的合适样本量。在不久的将来,整合这些迅速发展的策略的能力将耗费我们在癌症及癌症治疗方面的大量协同努力。